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Update README.md

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@@ -91,9 +91,9 @@ The sketch which can be composed of:
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  ### How to use the model
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  #### 1. If you already have a sketch in mind, and want to get a paragraph based on it...
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- ```python
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  from transformers import pipeline
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- # 1. load the model with the huggingface `pipeline`
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  genius = pipeline("text2text-generation", model='beyond/genius-large', device=0)
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  # 2. provide a sketch (joint by <mask> tokens)
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  sketch = "<mask> Conference on Empirical Methods <mask> submission of research papers <mask> Deep Learning <mask>"
@@ -101,8 +101,9 @@ sketch = "<mask> Conference on Empirical Methods <mask> submission of research p
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  generated_text = genius(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
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  print(generated_text)
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  ```
 
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  Output:
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- ```shell
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  'The Conference on Empirical Methods welcomes the submission of research papers. Abstracts should be in the form of a paper or presentation. Please submit abstracts to the following email address: eemml.stanford.edu. The conference will be held at Stanford University on April 1618, 2019. The theme of the conference is Deep Learning.'
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  ```
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  ### How to use the model
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  #### 1. If you already have a sketch in mind, and want to get a paragraph based on it...
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+ ```
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  from transformers import pipeline
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+ # 1. load the model with the huggingface pipeline
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  genius = pipeline("text2text-generation", model='beyond/genius-large', device=0)
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  # 2. provide a sketch (joint by <mask> tokens)
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  sketch = "<mask> Conference on Empirical Methods <mask> submission of research papers <mask> Deep Learning <mask>"
 
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  generated_text = genius(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
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  print(generated_text)
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  ```
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+
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  Output:
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+ ```
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  'The Conference on Empirical Methods welcomes the submission of research papers. Abstracts should be in the form of a paper or presentation. Please submit abstracts to the following email address: eemml.stanford.edu. The conference will be held at Stanford University on April 1618, 2019. The theme of the conference is Deep Learning.'
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  ```
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